Topological Transduction for Hybrid Few-shot Learning-Reference-Cited by-同舟云学术

Topological Transduction for Hybrid Few-shot Learning

Published:2022-04-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2022
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Author:

Chen Jiayi¹,Zhang Aidong¹

Affiliation:

1. University of Virginia, USA

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3485447.3512033

Reference46 articles.

1. Malik Boudiaf , Imtiaz Ziko , Jérôme Rony , Jose Dolz , Pablo Piantanida , and Ismail Ben Ayed . 2020. Information Maximization for Few-Shot Learning. Advances in Neural Information Processing Systems 33 ( 2020 ). Malik Boudiaf, Imtiaz Ziko, Jérôme Rony, Jose Dolz, Pablo Piantanida, and Ismail Ben Ayed. 2020. Information Maximization for Few-Shot Learning. Advances in Neural Information Processing Systems 33 (2020).

2. Hsinchun Chen and Michael Chau. 2004. Web mining: Machine learning for web applications. Annual review of information science and technology 38 1(2004) 289–329. Hsinchun Chen and Michael Chau. 2004. Web mining: Machine learning for web applications. Annual review of information science and technology 38 1(2004) 289–329.

3. HGMF: Heterogeneous Graph-based Fusion for Multimodal Data with Incompleteness

4. Jiayi Chen and Aidong Zhang. 2021. HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities. arXiv preprint arXiv:2105.07889(2021). Jiayi Chen and Aidong Zhang. 2021. HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities. arXiv preprint arXiv:2105.07889(2021).

5. Mingyang Chen Wen Zhang Wei Zhang Qiang Chen and Huajun Chen. 2019. Meta relational learning for few-shot link prediction in knowledge graphs. arXiv preprint arXiv:1909.01515(2019). Mingyang Chen Wen Zhang Wei Zhang Qiang Chen and Huajun Chen. 2019. Meta relational learning for few-shot link prediction in knowledge graphs. arXiv preprint arXiv:1909.01515(2019).

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